E. Chiesara

1.7k citations
61 papers · 1.4k · h-index 21

Impact in

Papers in

E. Chiesara

60 papers receiving 1.3k citations

Peers

E. Chiesara
Comparison fields: 5 of 114
  • Pharmacology 497
  • Clinical Biochemistry 121
  • Health, Toxicology and Mutagenesis 234
  • Biochemistry 107
  • Cancer Research 143
Replace Niilo T. Kärki with:
Niilo T. Kärki Finland
Julian E.A. Leakey United States
Arun P. Kulkarni United States
Lora E. Rikans United States
J. E. Bakke United States
L.J. Fischer United States
Patricia E. Levi United States
Ronald B. Franklin United States
A. H. Conney United States
Howard D. Colby United States
E. Chiesara relative to Niilo T. Kärki Finland Niilo T. Kärki's profile →
Citations per field
00.5×
Niilo T. Kärki · 1×
Citations per year

Countries citing papers authored by E. Chiesara

Since Specialization
Citations

This map shows the geographic impact of E. Chiesara's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by E. Chiesara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Chiesara more than expected).

Fields of papers citing papers by E. Chiesara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. Chiesara. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by E. Chiesara. The network helps show where E. Chiesara may publish in the future.

Co-authors

The 25 scholars most cited alongside E. Chiesara, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with E. Chiesara Line = papers co-authored together E. Chiesara links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1964219
2 1964155
3 196296
4 196283
5 199844
6 200243
7 196243
8 196336
9 200935
10 196234
11 200832
12
The induction of drug-metabolizing enzymes in rat liver during growth and regeneration. A biochemical and ultrastructural study.
196732
13 200532
14 200131
15 199529
16 197629
17 200526
18 199426
19 198426
20 200421

About E. Chiesara

E. Chiesara is a scholar working on Pharmacology, Health, Toxicology and Mutagenesis, Molecular Biology, Cancer Research and Clinical Biochemistry, having authored 61 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (18 papers), Carcinogens and Genotoxicity Assessment (7 papers), Metabolism and Genetic Disorders (6 papers), Environmental Toxicology and Ecotoxicology (5 papers), Toxic Organic Pollutants Impact (5 papers), Pesticide and Herbicide Environmental Studies (4 papers), Pesticide Exposure and Toxicity (4 papers) and Pharmacological Effects of Natural Compounds (4 papers). The work is most often cited by research in Pharmacology (497 citations), Clinical Biochemistry (121 citations), Health, Toxicology and Mutagenesis (234 citations), Biochemistry (107 citations) and Cancer Research (143 citations). E. Chiesara has collaborated with scholars based in Italy, Czechia and Japan. Frequent co-authors include Ryuji Kato, P. Vassanelli, G. Frontino, Laura Marabini, Sonia Radice, Ritsushi Kato, Jacopo Meldolesi, Serena Fucile, F. Clementi and Francesca Conti. Their work appears in journals such as Biochemical Pharmacology, Cellular and Molecular Life Sciences, Toxicology in Vitro, Aquatic Toxicology and Toxicology Letters.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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